Product Taxonomy
The 6,544-node product/segment classification tree (dict_product_rs) that SAM segment facts and the supply-chain graph are expressed in.
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Data due diligence
- Point-in-time: yes
- Carries the disclosure date; restatements preserved.
- Personal data: none
- No personal information.
- Web collection: no
- No web collection; sourced from filings or a licensed feed.
- Generative AI: yes
- Generative AI was used in producing part of this dataset; see the product's Data sourcing answers.
The personal-data values are descriptive, not risk grades: no personal information in any dataset is collected from individuals; all of it is drawn from mandatory public company disclosure or already-published news.
Declarations published by ChinaScope. Open the Due diligence tab and sign in to read the full questionnaire.
Product Taxonomy
taxonomySource DataThe 6,544-node product/segment classification tree (dict_product_rs) that SAM segment facts and the supply-chain graph are expressed in.
Daily source stitch · data frontier 2026-11-08
Column definitions
Select a table to see what each column means, its data type, and sample values.
dict_product_rs
Table · pick one of 1
dict_product_rs
dict_product_rs: 16 columns · grain (primary key): code · ChinaScope's 12 columns in their order, then the 4 columns added on 2026-11-05
| Column | Name | Type | Null | Description |
|---|---|---|---|---|
code ·PK | Product code | string | no | A node in ChinaScope's 6,544-code product taxonomy: the standard that SAM segment revenue/cost/profit and the supply-chain graph are expressed in. This is the vocabulary that makes product-level data comparable across companies. |
id | Product node ID | string | no | ChinaScope's internal identifier for the taxonomy node. |
name | Product name (CN) | string | yes | ChinaScope's product/segment name in Chinese: the reference name of the product. |
name_en | Product name (EN) | string | yes | The English name: Numinor's V5 name from 2026-11-05 (it differs from ChinaScope's earlier English name on 1,237 products), translated from the Chinese name and checked against the tree. |
parent | Parent node | string | yes | The parent product node: the edge that gives the taxonomy its tree shape. Null at the top level. |
ancestors | Ancestor path | string | yes | The full path from the taxonomy root to this product, so any product can be aggregated to any level of the tree in one step. |
valid | Valid flag | string | yes | Marks whether the node is currently in use (all nodes are currently valid). |
industry_code | Linked industry code | string | yes | The industry code this product maps to: the bridge that ties the product tree to the industry classification (dict_industry). Populated on 6,542 of the 6,544 nodes (all but two). |
rem_szh | Definition (CN) | string | yes | What the product is, in one Chinese sentence: Numinor's V5 definition from 2026-11-05 (before that, ChinaScope's short remark). |
rem_en | Definition (EN) | string | yes | The V5 definition in English, one sentence. |
product_level | Product level | string | yes | The depth of this product in the taxonomy (1 = broadest category, up to 9 = most specific). Filter to one level for a consistent granularity. |
source_publish_date | Public-record date | date | no | The date this record's current state became public. |
applications_zh | Applications (CN) | string | yes | Who buys or uses the product and for what, in one Chinese sentence. Added 2026-11-05. |
applications_en | Applications (EN) | string | yes | The applications in English. Added 2026-11-05. |
distinction_zh | Distinction from parent and neighbours (CN) | string | yes | How the product differs from its parent category and from the neighbouring products it is most easily confused with, in one Chinese sentence. Added 2026-11-05. |
distinction_en | Distinction from parent and neighbours (EN) | string | yes | The distinction in English. Added 2026-11-05. |
Sample row (as served from 2026-11-05):
code: PP001
id: 1838
name: 个人用品
name_en: Personal Products
parent: (null: top level)
ancestors: (null: top level)
valid: 1
industry_code: CSF_30302010
rem_szh: 个人用品包括供个人卫生护理和美容护理使用的产品,涵盖个人卫生护理用品及个人卫生护理用具。
rem_en: Personal Products comprises products used for personal hygiene and beauty care, including personal hygiene care supplies and implements.
product_level: 1
source_publish_date: 2023-11-02
applications_zh: 个人消费者购买并使用这类产品进行日常清洁、卫生防护和美容护理,美容护理服务机构也采购相关用品及用具为顾客提供护理服务。
applications_en: Individual consumers buy and use these products for daily cleansing, hygiene protection and beauty care, while beauty care service providers purchase related supplies and implements to deliver care services to clients.
distinction_zh: 个人用品作为顶层类别,涵盖直接用于个人卫生及美容护理的用品和用具,区别于用于衣物、餐具及居室清洁的家庭清洁用品,也区别于以疾病诊断或治疗为主要用途的医疗产品。
distinction_en: As a top-level category, Personal Products covers supplies and implements used directly for personal hygiene and beauty care, distinguishing it from household cleaning products for clothing, dishes and living spaces and from medical products primarily intended to diagnose or treat disease.
Sourced as-delivered from ChinaScope, with resolved codes and structural links computed by Numinor. Licensing passes through to you; fields are served exactly as the vendor issues them.
Access & FAQ
- How do I buy just a few fields?
- Check the fields you want and you'll see your running subtotal. Select every field and the whole-set price applies automatically. Add them to your basket and check out — this dataset, or fields combined across several.
- Can I evaluate these fields in the Matrix before I buy?
- Yes — load the actual source tables in the Matrix and analyze them with an AI agent before you buy. See the Overview tab for this dataset’s Matrix evaluation lag; “None” means no intentional delay.
- How is it delivered?
- Apache Parquet over a signed-URL REST API, the same pipe as Construct Data. The free Matrix sandbox serves an evaluation snapshot. Its delay, if any, is shown in the Overview tab.
- When is each update available, and how reliable is it?
- Source data refreshes on the ChinaScope cadence and is delivered through the same signed-URL pipeline as Construct Data, with the same manifest/status behaviour. Evaluate freshness yourself in the Matrix before you commit.
- Why are some fields free and others cost thousands?
- Price tracks non-replicability. Resolved codes and structural links are the moat; machine scores and raw text are cheap; identifier keys are free. Figures are priced per table; codes are charged once per dataset.
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Questions This Dataset Comes Up In
Public reference pages answering a question that spans several datasets, this one among them. No account needed.
- Why a join to China A-share company data silently drops rowsEntity resolution in Chinese company data is partial, and the resolved share differs by dataset and by relationship type. An inner join discards exactly the rows that were not resolved, and those rows are not a random sample.
- Missing, zero, or blank: three different states in China filing dataA real zero, a blank cell the filer left empty, and a line with no row at all are three distinct states in filing data. Collapsing them to one fills a panel with zeros that were never reported.
- Disclosed versus inferred: two kinds of China supply-chain and ownership dataDisclosed data is what filers published about themselves and arrives already consolidated. Inferred data is constructed and is built to be aggregated. The two obey opposite rules, and treating one like the other double-counts or under-counts.
- When to roll up subsidiaries in China company data, and when it double-countsWhether to roll up depends on whether the dataset is already consolidated. Some ChinaScope tables are pre-aggregated up the tree, some are deliberately not, and one column inside SAM is a subtree total that looks additive and is not.
- Which industry tree should you use for China equities?ChinaScope Reference carries five independent industry schemes in one table. They are separate trees, not levels of one hierarchy, and mixing them in a single grouping is meaningless.